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Data Analytics Manager

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Job Description - Data Analytics Manager

A unique opportunity to join a Leading Insurance Provider as a Data & Analytics Manager in London.

This role offers an unparalleled chance to shape the future of data-driven decision-making within a dynamic and innovative environment.

The ideal candidate will be a front facing Data Analysis/Visualisation expert with strong Google Platform / Medallion Architecture experience.

Why This Role Stands Out:

Impactful Work: Drive innovation and data design changes that empower leadership and the entire organisation towards data-driven decision making.

Collaboration: Work closely with leaders, third parties, and developers to establish and maintain a high-performing Data and Analytics technology framework.

Leadership: Lead the Analytics and GenAI initiatives, leveraging cutting-edge tools to drive business strategy.

Global Engagement: Collaborate with the US parent company to facilitate global reporting and align local analytics.

Key Responsibilities:

* Develop best practice solutions for sustainable and flexible data solutions.
* Act as an expert solution partner, providing both reactive and proactive recommendations for strategic goals.
* Lead the maintenance and expansion of Silver Layer Medallion architecture.
* Design and develop integrated data solutions that align with enterprise architecture standards.
* Ensure compliance with all applicable legal and regulatory requirements.

Skills, Knowledge & Experience:

* Insurance knowledge is essential.
* Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector.
* Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs.
* Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards.
* Knowledge in in-memory, appliances, event processing, cloud solutions, and data quality applications.
* Experience in process mapping and business modelling, supporting logical data modelling both conceptually and physically
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